Flutter binary: Flutter Binary Analysis via Codex and Ghidra Integration

Researcher hiroyuki reported using OpenAI's Codex integrated with Ghidra to automate object-pool extraction and address identification in Flutter binaries, a task the researcher said version-specific deserialization differences had made highly complex. According to the report, the integration let the AI read Flutter binaries even with minimal or imprecise instructions, and a script that automatically extracted object pools enabled address identification and further analysis. The findings were documented in a post at x.com/ionis_h/status/2114686560323125596.

Evidence at a glance Loading source evidence… What was done Researcher hiroyuki reports using Codex integrated with Ghidra to automate the extraction of object pools and address identification within Flutter binaries, overcoming challenges posed by version-specific deserialization differences. The author, hiroyuki, reports a method for analyzing Flutter binaries by integrating Codex with Ghidra. According to the report, this integration allows for the reading of Flutter binaries even with minimal or imprecise instructions provided to the AI. The author notes that Flutter binaries present significant challenges for reverse engineering due to version-specific variations in deserialization methods, which typically make the identification of memory addresses difficult. By utilizing a script to automatically extract object pools, the author was able to identify addresses and proceed with the analysis of the binary. The report highlights the utility of Codex in streamlining this process, which the author previously characterized as highly complex. The findings are documented at https://x.com/ionis h/status/2114686560323125596 https://x.com/ionis h/status/2114686560323125596 .